PopularMajor Project
Artificial Intelligence
Face Recognition Attendance System
Camera-based attendance with liveness detection and analytics
- Python
- OpenCV
- FaceNet
- Flask
- +2
₹4,900₹5,999
4.8/301 reviews
Artificial Intelligence · Mini Project
Image Data Augmentation Generator
Expands small image datasets with configurable augmentation pipelines
1-2 weeks build
Overview
A tool for students and researchers whose image datasets are too small. Users upload a folder, choose transforms such as flips, rotations, colour jitter and cutout in a Streamlit interface, preview the results and export an expanded dataset. An included experiment trains the same classifier with and without augmentation to measure the effect.
What makes it stand up
- 01Geometric, colour and noise transforms with live preview
- 02Bounding-box and mask-aware augmentation for detection data
- 03Reusable pipeline presets saved as YAML
- 04Export as a ready-to-train ImageFolder zip
- 05With-and-without augmentation experiment in the report
Module breakdown
- 01
Upload
Folder or zip upload with class detection.
- 02
Pipeline builder
Albumentations transforms with adjustable probabilities.
- 03
Preview
Grid of augmented samples before export.
- 04
Export
Multiplied dataset written with consistent naming.
- 05
Experiment
Classifier trained on original and augmented sets.
After this, you will be able to
- Explain why augmentation reduces overfitting
- Defend which transforms suit which kind of data
- Demo expanding a tiny dataset live
Technology stack
- Python
- Albumentations
- OpenCV
- Streamlit
- PyTorch
- Level
- Mini Project
- Domain
- Artificial Intelligence
- Build time
- 1-2 weeks
- Difficulty
You receive
- Complete, commented source code
- 60-90 page project report (IEEE format)
- Editable presentation deck
- Architecture, ER and UML diagrams
- Local setup and deployment guide
- Sample dataset or seed data
- Viva question bank with answers
- One 45-minute walkthrough call
- 30 days of doubt-clearing support